code: def _square_of_sums(a, axis=0):
      """
      Sums elements of the input array, and returns the square(s) of that sum.
      Parameters
      ----------
      a : array_like
          Input array.
      axis : int or None, optional
          Axis along which to calculate. Default is 0. If None, compute over
          the whole array `a`.
      Returns
      -------
      square_of_sums : float or ndarray
          The square of the sum over `axis`.
      See also
      --------
      _sum_of_squares : The sum of squares (the opposite of `square_of_sums`).
      """
      s = da.sum(a, axis)
      return s * s
  
imports: from __future__ import annotations
  import math
  from collections import namedtuple
  import numpy
  import dask.array
  from dask import delayed
  from dask.array.ufunc import wrap_elemwise
  from dask.utils import derived_from
  from scipy import special
  from scipy.stats import distributions
label_desc: Use image node_id 19 for calling a global function with example usage: _square_of_sums(a, axis) and returns: unknown